Metal device set to: Apple M1 Pro
systemMemory: 16.00 GB
maxCacheSize: 5.33 GB
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 256) 3328
leaky_re_lu (LeakyReLU) (None, 256) 0
dense_1 (Dense) (None, 256) 65792
leaky_re_lu_1 (LeakyReLU) (None, 256) 0
dense_2 (Dense) (None, 256) 65792
leaky_re_lu_2 (LeakyReLU) (None, 256) 0
dense_3 (Dense) (None, 256) 65792
leaky_re_lu_3 (LeakyReLU) (None, 256) 0
dense_4 (Dense) (None, 256) 65792
leaky_re_lu_4 (LeakyReLU) (None, 256) 0
dense_5 (Dense) (None, 3) 771
=================================================================
Total params: 267,267
Trainable params: 267,267
Non-trainable params: 0
_________________________________________________________________
Epoch 1/50
459/459 [==============================] - 19s 40ms/step - loss: 0.0035 - val_loss: 9.6533e-05
Epoch 2/50
459/459 [==============================] - 18s 39ms/step - loss: 8.8049e-05 - val_loss: 6.6113e-05
Epoch 3/50
459/459 [==============================] - 18s 38ms/step - loss: 7.5220e-05 - val_loss: 3.2336e-04
Epoch 4/50
459/459 [==============================] - 18s 39ms/step - loss: 6.8558e-05 - val_loss: 4.6080e-05
Epoch 5/50
459/459 [==============================] - 18s 39ms/step - loss: 6.0042e-05 - val_loss: 3.5124e-05
Epoch 6/50
459/459 [==============================] - 18s 40ms/step - loss: 5.9036e-05 - val_loss: 6.3567e-05
Epoch 7/50
459/459 [==============================] - 18s 39ms/step - loss: 5.3332e-05 - val_loss: 3.1843e-05
Epoch 8/50
459/459 [==============================] - 18s 39ms/step - loss: 5.6049e-05 - val_loss: 3.5608e-05
Epoch 9/50
459/459 [==============================] - 19s 41ms/step - loss: 4.1115e-05 - val_loss: 1.2567e-04
Epoch 10/50
459/459 [==============================] - 18s 39ms/step - loss: 4.7044e-05 - val_loss: 2.6211e-05
Epoch 11/50
459/459 [==============================] - 18s 39ms/step - loss: 4.2628e-05 - val_loss: 8.0830e-05
Epoch 12/50
459/459 [==============================] - 18s 39ms/step - loss: 3.9800e-05 - val_loss: 2.3045e-05
Epoch 13/50
459/459 [==============================] - 18s 38ms/step - loss: 3.8004e-05 - val_loss: 1.5017e-04
Epoch 14/50
459/459 [==============================] - 18s 38ms/step - loss: 3.5721e-05 - val_loss: 2.1427e-05
Epoch 15/50
459/459 [==============================] - 18s 39ms/step - loss: 3.1986e-05 - val_loss: 3.6567e-05
Epoch 16/50
459/459 [==============================] - 18s 38ms/step - loss: 3.2717e-05 - val_loss: 5.3504e-05
Epoch 17/50
459/459 [==============================] - 18s 38ms/step - loss: 2.9897e-05 - val_loss: 2.0655e-05
Epoch 18/50
459/459 [==============================] - 18s 38ms/step - loss: 2.8404e-05 - val_loss: 2.6714e-05
Epoch 19/50
459/459 [==============================] - 18s 38ms/step - loss: 2.9446e-05 - val_loss: 1.9924e-05
Epoch 20/50
459/459 [==============================] - 18s 39ms/step - loss: 2.5951e-05 - val_loss: 1.7051e-05
Epoch 21/50
459/459 [==============================] - 21s 45ms/step - loss: 2.5611e-05 - val_loss: 1.6440e-05
Epoch 22/50
459/459 [==============================] - 19s 42ms/step - loss: 2.4814e-05 - val_loss: 2.2654e-05
Epoch 23/50
459/459 [==============================] - 18s 39ms/step - loss: 2.2382e-05 - val_loss: 1.8963e-05
Epoch 24/50
459/459 [==============================] - 18s 39ms/step - loss: 2.1886e-05 - val_loss: 4.2132e-05
Epoch 25/50
459/459 [==============================] - 18s 39ms/step - loss: 2.1513e-05 - val_loss: 1.7033e-05
Epoch 26/50
459/459 [==============================] - 18s 39ms/step - loss: 1.9479e-05 - val_loss: 2.0441e-05
Epoch 27/50
459/459 [==============================] - 18s 40ms/step - loss: 2.0390e-05 - val_loss: 2.5732e-05
Epoch 28/50
459/459 [==============================] - 18s 39ms/step - loss: 1.8972e-05 - val_loss: 2.3469e-05
Epoch 29/50
459/459 [==============================] - 18s 39ms/step - loss: 1.8269e-05 - val_loss: 2.4652e-05
Epoch 30/50
459/459 [==============================] - 17s 38ms/step - loss: 1.6638e-05 - val_loss: 3.6394e-05
Epoch 31/50
459/459 [==============================] - 18s 39ms/step - loss: 1.7830e-05 - val_loss: 1.6471e-05
Epoch 32/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5533e-05 - val_loss: 4.0709e-05
Epoch 33/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5860e-05 - val_loss: 1.9261e-05
Epoch 34/50
459/459 [==============================] - 17s 38ms/step - loss: 1.6034e-05 - val_loss: 5.9389e-05
Epoch 35/50
459/459 [==============================] - 18s 39ms/step - loss: 1.5285e-05 - val_loss: 1.3749e-05
Epoch 36/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5239e-05 - val_loss: 1.2749e-05
Epoch 37/50
459/459 [==============================] - 18s 40ms/step - loss: 1.5157e-05 - val_loss: 1.7114e-05
Epoch 38/50
459/459 [==============================] - 18s 39ms/step - loss: 1.2999e-05 - val_loss: 1.6996e-05
Epoch 39/50
459/459 [==============================] - 18s 39ms/step - loss: 1.3645e-05 - val_loss: 1.7193e-05
Epoch 40/50
459/459 [==============================] - 18s 39ms/step - loss: 1.3452e-05 - val_loss: 1.5187e-05
Epoch 41/50
459/459 [==============================] - 18s 39ms/step - loss: 1.3526e-05 - val_loss: 2.5575e-05
Epoch 42/50
459/459 [==============================] - 18s 40ms/step - loss: 1.2672e-05 - val_loss: 1.2135e-05
Epoch 43/50
459/459 [==============================] - 18s 38ms/step - loss: 1.2901e-05 - val_loss: 1.6611e-05
Epoch 44/50
459/459 [==============================] - 17s 38ms/step - loss: 1.2735e-05 - val_loss: 1.3362e-05
Epoch 45/50
459/459 [==============================] - 18s 40ms/step - loss: 1.1466e-05 - val_loss: 6.7970e-05
Epoch 46/50
459/459 [==============================] - 18s 38ms/step - loss: 1.2104e-05 - val_loss: 4.0869e-05
Epoch 47/50
459/459 [==============================] - 18s 40ms/step - loss: 1.1756e-05 - val_loss: 1.3876e-05
Epoch 48/50
459/459 [==============================] - 18s 40ms/step - loss: 1.1365e-05 - val_loss: 1.1713e-05
Epoch 49/50
459/459 [==============================] - 18s 39ms/step - loss: 1.1296e-05 - val_loss: 4.6768e-05
Epoch 50/50
459/459 [==============================] - 18s 38ms/step - loss: 1.1939e-05 - val_loss: 1.7391e-05
51/51 [==============================] - 1s 14ms/step - loss: 1.1713e-05
INFO:tensorflow:Assets written to: models/best_uv_model/assets
Validation mse: 1.1713131243595853e-05